Current insights into protein solubility: A review of its importance for alternative proteins

L Grossmann, DJ McClements - Food Hydrocolloids, 2023 - Elsevier
The solubility of proteins plays a key role in determining the physicochemical properties,
processing, sensory attributes, shelf life, and nutritional profile of foods formulated with …

A guide to studying protein aggregation

JAJ Housmans, G Wu, J Schymkowitz… - The FEBS …, 2023 - Wiley Online Library
Disrupted protein folding or decreased protein stability can lead to the accumulation of
(partially) un‐or misfolded proteins, which ultimately cause the formation of protein …

SoluProt: prediction of soluble protein expression in Escherichia coli

J Hon, M Marusiak, T Martinek, A Kunka… - …, 2021 - academic.oup.com
Motivation Poor protein solubility hinders the production of many therapeutic and industrially
useful proteins. Experimental efforts to increase solubility are plagued by low success rates …

Prediction of protein solubility based on sequence physicochemical patterns and distributed representation information with DeepSoluE

C Wang, Q Zou - BMC biology, 2023 - Springer
Background Protein solubility is a precondition for efficient heterologous protein expression
at the basis of most industrial applications and for functional interpretation in basic research …

[HTML][HTML] Computational methods to predict protein aggregation

S Navarro, S Ventura - Current Opinion in Structural Biology, 2022 - Elsevier
In most cases, protein aggregation stems from the establishment of non-native
intermolecular contacts. The formation of insoluble protein aggregates is associated with …

NetSolP: predicting protein solubility in Escherichia coli using language models

V Thumuluri, HM Martiny, JJ Almagro Armenteros… - …, 2022 - academic.oup.com
Motivation Solubility and expression levels of proteins can be a limiting factor for large-scale
studies and industrial production. By determining the solubility and expression directly from …

PyUUL provides an interface between biological structures and deep learning algorithms

G Orlando, D Raimondi, R Duran-Romaña… - Nature …, 2022 - nature.com
Structural bioinformatics suffers from the lack of interfaces connecting biological structures
and machine learning methods, making the application of modern neural network …

Discovery-stage identification of drug-like antibodies using emerging experimental and computational methods

EK Makowski, L Wu, P Gupta, PM Tessier - MAbs, 2021 - Taylor & Francis
There is intense and widespread interest in developing monoclonal antibodies as
therapeutic agents to treat diverse human disorders. During early-stage antibody discovery …

Deep learning in preclinical antibody drug discovery and development

Y Zhou, Z Huang, W Li, J Wei, Q Jiang, W Yang… - Methods, 2023 - Elsevier
Antibody drugs have become a key part of biotherapeutics. Patients suffering from various
diseases have benefited from antibody therapies. However, its development process is …

[HTML][HTML] Accelerating therapeutic protein design with computational approaches toward the clinical stage

Z Chen, X Wang, X Chen, J Huang, C Wang… - Computational and …, 2023 - Elsevier
Therapeutic protein, represented by antibodies, is of increasing interest in human medicine.
However, clinical translation of therapeutic protein is still largely hindered by different …